[robotics-worldwide] [jobs] 2019 REU in applied computational robotics at University of South Carolina
sherving at email.sc.edu
Thu Feb 7 22:01:39 PST 2019
We are excited to announce a 10-week summer REU program in Applied Computational Robotics at the University of South Carolina (https://urldefense.proofpoint.com/v2/url?u=https-3A__reu.cse.sc.edu_&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Ubf4A8p7nxffzZlrqJgBNtdV5KSSKWSbHCo30ytabXQ&s=qXaP-I6QzvWt33mZwYu1qdjBkqHdtC2a0EmfcpmUY10&e=). Application deadline: March 1.
- A stipend of $500 per week.
- On campus housing in apartment-style dormitories.
- A meal allowance of $1200.
- Travel expenses up to $600.
- Professional development and training workshops.
- Coordinated social events.
An REU is a summer opportunity for undergraduate students to learn about the research process in their field and to conduct their own original research. Students work closely with faculty mentors, graduate students, and other REU participants on cutting edge problems. It's an opportunity for students to apply their knowledge gained inside the classroom to real-world, unanswered problems, and is an opportunity for students to explore research as a future career. In addition to conducting research, REU participants have the opportunity to receive professional development training that will assist them both in their current research and in their future careers, as well as the opportunity to network with other like-minded undergraduates.
The University of South Carolina REU in applied computational robotics is centered around the observation that "robots change everything." That is, every aspect of a computer system, from the design and engineering of its software, to its interactions with humans, to its core functions of perception and movement, is deeply impacted by the way robots must interact with the physical world. In this 10 week summer program, students will engage in active research rooted in areas such as software engineering, security, and automated reasoning that are often overlooked by the contemporary robotics community, but crucially important for the deployment of reliable, trustworthy robotic systems.
Department of Computer Science and Engineering
University of South Carolina
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